Artificial intelligence and modern data protection technologies as innovative tools of economic security

The article examines the key aspects of the development and implementation of modern information systems aimed at enhancing data security in the context of digital transformation. Particular attention is given to the role of cryptography in ensuring data confidentiality and integrity, as well as to the exploration of the synergy between quantum data protection methods and artificial intelligence. The aim of the study is to develop and generalize approaches to effective data protection, considering threat analysis, the selection of cryptographic primitives, and their integration into a unified security system. The research methodology applies subjective, systemic, and process approaches to assess the resilience of encryption algorithms and their adaptation to modern challenges. The results reveal the potential of employing quantum technologies in combination with AI as a tool for ensuring economic security, analyzing cyber threats, and creating flexible solutions for data protection in the face of increasing threat complexity and growing information flows.